The lightweight observability layer for Python scripts and pipelines. Stream logs, monitor progress, and visualize execution in real-time.
pip install stepcast
from stepcast import Pipeline
pipe = Pipeline("ETL Job")
@pipe.step("Download data", retries=2)
def download():
print("Fetching records...")
return [1, 2, 3]
@pipe.step("Process data")
def process(data: list):
result = sum(data)
print(f"Sum = {result}")
return result
report = pipe.run()Zero required dependencies. Works on every OS. Readable by everyone.
Every print() inside a step streams to the terminal in real time. No more wondering if your script hangs during execution.
Uses Google Gemini to automatically summarize what your code did in plain English. Ideal for long builds or cross-team sharing.
Monitor your runs graphically with the built-in dashboard. Just run stepcast serve
to view your entire run history locally.
Built-in retry mechanism with exponential backoff and absolute timeout enforcement. Handle flaky network calls elegantly.
Beautiful spinners and vibrant colored output when the rich library is installed.
Gracefully degrades on minimal terminals.
Native integration for Google Colab and Jupyter Notebooks with automatic authentication and Google Drive state saving.